Work

Context-aware Argumentative Relation Mining

Year: 2016

Type: conference-paper

Abstract: Context is crucial for identifying argumentative relations in text, but many argument mining methods make little use of contextual features.This paper presents contextaware argumentative relation mining that uses features extracted from writing topics as well as from windows of context sentences.Experiments on student essays demonstrate that the proposed features improve predictive performance in two argumentative relation classification tasks.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/p16-1107

Authors: Huy Nguyen, Diane Litman

Institution: University of Pittsburgh

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Award: DIP: Teaching Writing and Argumentation with AI-Supported Diagramming and Peer Review